Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_commit_hash": null,
+  "_name_or_path": "facebook/detr-resnet-50",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "DetrForObjectDetection"
+  ],
+  "attention_dropout": 0.0,
+  "auxiliary_loss": false,
+  "backbone": "resnet50",
+  "backbone_config": null,
+  "bbox_cost": 5.0,
+  "bbox_loss_coefficient": 5.0,
+  "class_cost": 1.0,
+  "d_model": 512,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "dice_loss_coefficient": 1,
+  "dilation": false,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
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+  "encoder_layers": 6,
+  "eos_coefficient": 0.1,
+  "eos_loss_coefficient": 0.1,
+  "giou_cost": 2.0,
+  "giou_loss_coefficient": 2.0,
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "mask_loss_coefficient": 1,
+  "model_type": "detr",
+  "num_channels": 3,
+  "num_classes": 1,
+  "num_hidden_layers": 6,
+  "num_queries": 100,
+  "output_attentions": true,
+  "position_embedding_type": "sine",
+  "positional_embedding_type": "sine",
+  "torch_dtype": "float32",
+  "transformers_version": null,
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "DetrFeatureExtractor",
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "DetrFeatureExtractor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 1333,
+    "shortest_edge": 800
+  }
+}

pytorch_model.bin

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training_args.bin

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